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. 2021 May 28;16(5):e0252472.
doi: 10.1371/journal.pone.0252472. eCollection 2021.

Building a community of practice through social media using the hashtag #neoEBM

Amy Keir  1   2   3 , Nicolas Bamat  4   5 , Bron Hennebry  2   3 , Brian King  6 , Ravi Patel  7 , Clyde Wright  8 , Alexandra Scrivens  9 , Omar ElKhateeb  10 , Souvik Mitra  11 , Damian Roland  12   13
Affiliations

Building a community of practice through social media using the hashtag #neoEBM

Amy Keir et al. PLoS One. .

Abstract

Objectives: Social media use is associated with developing communities of practice that promote the rapid exchange of information across traditional institutional and geographical boundaries faster than previously possible. We aimed to describe and share our experience using #neoEBM (Neonatal Evidence Based Medicine) hashtag to organise and build a digital community of neonatal care practice.

Materials and methods: Analysis of #neoEBM Twitter data in the Symplur Signals database between 1 May 2018 to 9 January 2021. Data on tweets containing the #neoEBM hashtag were analysed using online analytical tools, including the total number of tweets and user engagement.

Results: Since its registration, a total of 3 228 distinct individual Twitter users used the hashtag with 23 939 tweets and 37 259 710 impressions generated. The two days with the greatest number of tweets containing #neoEBM were 8 May 2018 (n = 218) and 28 April 2019 (n = 340), coinciding with the annual Pediatric Academic Societies meeting. The majority of Twitter users made one tweet using #neoEBM (n = 1078), followed by two tweets (n = 411) and more than 10 tweets (n = 347). The number of individual impressions (views) of tweets containing #neoEBM was 37 259 710. Of the 23 939 tweets using #neoEBM, 17 817 (74%) were retweeted (shared), 15 643 (65%) included at least one link and 1 196 (5%) had at least one reply. As #neoEBM users increased over time, so did tweets containing #neoEBM, with each additional user of the hashtag associated with a mean increase in 7.8 (95% CI 7.7-8.0) tweets containing #neoEBM.

Conclusion: Our findings support the observation that the #neoEBM community possesses many of the characteristics of a community of practice, and it may be an effective tool to disseminate research findings. By sharing our experiences, we hope to encourage others to engage with or build online digital communities of practice to share knowledge and build collaborative networks across disciplines, institutions and countries.

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Conflict of interest statement

AK, RP, CW, SM, AS, OE and BK are current or previous social media editors and NB is immediate past lead social media editor for the International Society for Evidence-Based Neonatology (ebneo.org) and all tweet as part of these roles as @EBNEO. None are compensated for their role as social media editors. The authors have no financial relationships with the online analytical platform Symplur. This does not alter our adherence to PLOS ONE policies on sharing data and materials.

Figures

Fig 1
Fig 1. Cumulative users of the hashtag #neoEBM over time.
Fig 2
Fig 2. Cumulative tweets of the hashtag #neoEBM over time.
Fig 3
Fig 3. Time-series graph of numbers of new #neoEBM users (monthly average).
Fig 4
Fig 4. Cumulative numbers of tweets and users over time.
See this image and copyright information in PMC

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